This paper introduces DeepLMS, a novel deep learning model that predicts the quality of interaction (QoI) with Learning Management Systems (LMS). Using Long Short-Term Memory (LSTM) networks, DeepLMS achieves high accuracy in QoI prediction, showing average testing Root Mean Square Error (RMSE) < 0.009 and a correlation coefficient r≥ 0.97 (p<0.05) across three datasets collected before and during the COVID-19 pandemic. DeepLMS provides personalized feedback to learners and offers educators an additional evaluation tool beyond content-related assessments.
Publisher
Scientific Reports
Published On
Nov 16, 2020
Authors
Sofia B. Dias, Sofia J. Hadjileontiadou, José Diniz, Leontios J. Hadjileontiadis
Tags
DeepLMS
quality of interaction
Learning Management Systems
deep learning
LSTM networks
personalized feedback
education technology
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